A Novel Performance Evaluation Methodology for Single-Target Trackers

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F16%3A00239380" target="_blank" >RIV/68407700:21230/16:00239380 - isvavai.cz</a>

Result on the web

<a href="http://ieeexplore.ieee.org/document/7379002/" target="_blank" >http://ieeexplore.ieee.org/document/7379002/</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/TPAMI.2016.2516982" target="_blank" >10.1109/TPAMI.2016.2516982</a>

Result language

angličtina

Original language name

A Novel Performance Evaluation Methodology for Single-Target Trackers

Original language description

This paper addresses the problem of single-target tracker performance evaluation.We consider the performance measures, the dataset and the evaluation system to be the most important components of tracker evaluation and propose requirements for each of them. The requirements are the basis of a new evaluation methodology that aims at a simple and easily interpretable tracker comparison. The ranking-based methodology addresses tracker equivalence in terms of statistical significance and practical differences. A fully-annotated dataset with per-frame annotations with several visual attributes is introduced. The diversity of its visual properties is maximized in a novel way by clustering a large number of videos according to their visual attributes. This makes it the most sophistically constructed and annotated dataset to date. A multi-platform evaluation system allowing easy integration of third-party trackers is presented as well. The proposed evaluation methodology was tested on the VOT2014 challenge on the new dataset and 38 trackers, making it the largest benchmark to date. Most of the tested trackers are indeed state-of-the-art since they outperform the standard baselines, resulting in a highly-challenging benchmark. An exhaustive analysis of the dataset from the perspective of tracking difficulty is carried out. To facilitate tracker comparison a new performance visualization technique is proposed.

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

JD - Use of computers, robotics and its application

OECD FORD branch

—

Project

<a href="/en/project/GBP103%2F12%2FG084" target="_blank" >GBP103/12/G084: Center for Large Scale Multi-modal Data Interpretation</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2016

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

IEEE Transactions on Pattern Analysis and Machine Intelligence

ISSN

0162-8828

e-ISSN

—

Volume of the periodical

38

Issue of the periodical within the volume

11

Country of publishing house

US - UNITED STATES

Number of pages

19

Pages from-to

2137-2155

UT code for WoS article

000385945000001

EID of the result in the Scopus database

2-s2.0-84992034892